Please use this identifier to cite or link to this item:
https://doi.org/10.1038/s41467-021-22463-y
DC Field | Value | |
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dc.title | Tissue-specific cell-free DNA degradation quantifies circulating tumor DNA burden | |
dc.contributor.author | Zhu, Guanhua | |
dc.contributor.author | Guo, Yu A. | |
dc.contributor.author | Ho, Danliang | |
dc.contributor.author | Poon, Polly | |
dc.contributor.author | Poh, Zhong Wee | |
dc.contributor.author | Wong, Pui Mun | |
dc.contributor.author | Gan, Anna | |
dc.contributor.author | Chang, Mei Mei | |
dc.contributor.author | Kleftogiannis, Dimitrios | |
dc.contributor.author | Lau, Yi Ting | |
dc.contributor.author | Tay, Brenda | |
dc.contributor.author | Lim, Wan Jun | |
dc.contributor.author | Chua, Clarinda | |
dc.contributor.author | Tan, Tira J. | |
dc.contributor.author | Koo, Si-Lin | |
dc.contributor.author | Chong, Dawn Q. | |
dc.contributor.author | Yap, Yoon Sim | |
dc.contributor.author | Tan, Iain | |
dc.contributor.author | Ng, Sarah | |
dc.contributor.author | Skanderup, Anders J. | |
dc.date.accessioned | 2022-10-26T09:04:17Z | |
dc.date.available | 2022-10-26T09:04:17Z | |
dc.date.issued | 2021-04-13 | |
dc.identifier.citation | Zhu, Guanhua, Guo, Yu A., Ho, Danliang, Poon, Polly, Poh, Zhong Wee, Wong, Pui Mun, Gan, Anna, Chang, Mei Mei, Kleftogiannis, Dimitrios, Lau, Yi Ting, Tay, Brenda, Lim, Wan Jun, Chua, Clarinda, Tan, Tira J., Koo, Si-Lin, Chong, Dawn Q., Yap, Yoon Sim, Tan, Iain, Ng, Sarah, Skanderup, Anders J. (2021-04-13). Tissue-specific cell-free DNA degradation quantifies circulating tumor DNA burden. Nature Communications 12 (1) : 2229. ScholarBank@NUS Repository. https://doi.org/10.1038/s41467-021-22463-y | |
dc.identifier.issn | 2041-1723 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/233587 | |
dc.description.abstract | Profiling of circulating tumor DNA (ctDNA) may offer a non-invasive approach to monitor disease progression. Here, we develop a quantitative method, exploiting local tissue-specific cell-free DNA (cfDNA) degradation patterns, that accurately estimates ctDNA burden independent of genomic aberrations. Nucleosome-dependent cfDNA degradation at promoters and first exon-intron junctions is strongly associated with differential transcriptional activity in tumors and blood. A quantitative model, based on just 6 regulatory regions, could accurately predict ctDNA levels in colorectal cancer patients. Strikingly, a model restricted to blood-specific regulatory regions could predict ctDNA levels across both colorectal and breast cancer patients. Using compact targeted sequencing (<25 kb) of predictive regions, we demonstrate how the approach could enable quantitative low-cost tracking of ctDNA dynamics and disease progression. © 2021, The Author(s). | |
dc.publisher | Nature Research | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | Scopus OA2021 | |
dc.type | Article | |
dc.contributor.department | DEAN'S OFFICE (DUKE-NUS MEDICAL SCHOOL) | |
dc.contributor.department | DUKE-NUS MEDICAL SCHOOL | |
dc.description.doi | 10.1038/s41467-021-22463-y | |
dc.description.sourcetitle | Nature Communications | |
dc.description.volume | 12 | |
dc.description.issue | 1 | |
dc.description.page | 2229 | |
dc.published.state | Published | |
Appears in Collections: | Elements Staff Publications |
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